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ResearchFormerly WizWand

Image Classification on MNIST (Gauss, SUAP, GSUAP, VIP)

92.6GaussGSUAP
6.829.07551.3573.625May 15, 2026
Updated 5mo ago

Evaluation results

MethodLinks
GSUAPModel=ResNet-50, Ratio (%)=202026.0592.616.716.399.8
GSUAPModel=ResNet-18, Ratio (%)=202026.054910.210.299.6
GSUAPModel=ViT-Tiny, Ratio (%)=202026.0546.311.210.499.3
GSUAPModel=ResNet-50, Ratio (%)=402026.0545.711.110.999.8
GSUAPModel=ViT-Small, Ratio (%)=202026.0540.810.810.799.2
GSUAPModel=ResNet-50, Ratio (%)=602026.0535.310.410.299.8
GSUAPModel=ResNet-50, Ratio (%)=802026.0533.710.410.299.8
GSUAPModel=ViT-Tiny, Ratio (%)=402026.0532.410.91099.3
GSUAPModel=ResNet-50, Ratio (%)=1002026.053210.41099.8
GSUAPModel=ResNet-18, Ratio (%)=402026.0531.311.311.399.6
GSUAPModel=ResNet-18, Ratio (%)=602026.0529.49.39.399.6
GSUAPModel=ViT-Small, Ratio (%)=402026.0526.1101099.2
GSUAPModel=ResNet-18, Ratio (%)=802026.0524.710.610.299.6
GSUAPModel=ViT-Tiny, Ratio (%)=602026.0523.89.48.999.3
GSUAPModel=ViT-Small, Ratio (%)=602026.0522.79.89.499.2
GSUAPModel=ResNet-18, Ratio (%)=1002026.0522.610.210.299.6
GSUAPModel=ViT-Tiny, Ratio (%)=802026.0521.29.98.499.3
GSUAPModel=ViT-Tiny, Ratio (%)=1002026.05199.88.499.3
GSUAPModel=ViT-Small, Ratio (%)=802026.0517.99.59.599.2
GSUAPModel=ViT-Small, Ratio (%)=1002026.0514.19.59.499.2
GSUAPModel=AlexNet, Ratio (%)=202026.0512.69.89.798.9
GSUAPModel=DenseNet, Ratio (%)=202026.0512.310.79.599.5
GSUAPModel=AlexNet, Ratio (%)=402026.0511.59.49.598.9
GSUAPModel=AlexNet, Ratio (%)=602026.0510.99.2998.9
GSUAPModel=AlexNet, Ratio (%)=802026.0510.69.28.998.9
GSUAPModel=AlexNet, Ratio (%)=1002026.0510.69.28.998.9
GSUAPModel=DenseNet, Ratio (%)=802026.0510.59.59.599.5
GSUAPModel=DenseNet, Ratio (%)=1002026.0510.49.49.499.5
GSUAPModel=DenseNet, Ratio (%)=602026.0510.310.39.399.5
GSUAPModel=DenseNet, Ratio (%)=402026.0510.19.89.899.5